The Laboratory for Dynamics and Control of Nanosystems (LDCN) is a multi-million dollar state-of-the-art research facility dedicated to the advancement of nanotechnology through innovations in systems theory and control engineering. The main thrust of research in the laboratory is to develop methodologies, technologies, and the necessary instrumentation for fast and accurate interrogation and manipulation of matter at the nanoscale. LDCN's multidisciplinary research team pursues a dynamic and active research program that maintains a solid systems and control focus on a variety of emerging applications in nanotechnology.


Department of Systems Engineering
Erik Jonsson School of Engineering & Computer Science
The University of Texas at Dallas
800 West Campbell Rd, Richardson, TX 75080, USA

Ph: +1 972 883 4158
Email: Reza.Moheimani@utdallas.edu

Location information


Recent News


Dr. Moheimani to deliver a Keynote Lecture at the 15th International Conference on Automation Technology
August 27, 2018
The conference will beheld in Taichung, Taiwan Dec. 6-8, 2018 http://auto2018.ncut.edu.tw/
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LDCN receives Phase-I STTR funding from Department of Energy
August 8, 2018
Reza Moheimani and James Owen (Zyvex Labs) have won a Department of Energy (DOE) Phase-I Small Business Technology Transfer (STTR) award. The project “High Speed
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LDCN receives DOE funding under EERE's Emerging Research Exploration program
August 8, 2018
The project, "A Platform Technology for High-throughput Atomically Precise Manufacturing: Mechatronics at the Atomic Scale", was selected earlier this year as one of the 24
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Professor Moheimani to present a plenary lecture at Emerging Sensing Technologies Summit in Melbourne Australia
May 2, 2018
http://ests18.org/index.html
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Michael Ruppert received the best thesis award
March 7, 2018
Congratulations to Michael Ruppert for receiving University of Newcastle's Award for Higher Degree by Research Excellence for his thesis titled: "Self-Sensing, Estimation and Control in
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Recent Publications

M. B. Coskun, H. Alemansour, A. G. Fowler, M. Maroufi, S. O. R. Moheimani

Q Control of an Active AFM CantileverWith Differential Sensing Configuration (Journal Article)

IEEE Transactions on Control Systems Technology, 2018, (Accepted for publication).

(BibTeX | Links: )

F. Tajaddodianfar, S. O. R. Moheimani, J. N. Randall

Scanning Tunneling Microscope Control: A Self-Tuning PI Controller Based on Online Local Barrier Height Estimation (Journal Article)

IEEE Transactions on Control Systems Technology, 2018, (Accepted for publication).

(BibTeX | Links: )

A. Bazaei, Z. Chen, Y. K. Yong, S. O. R. Moheimani

A novel state transformation approach to tracking of piecewise linear trajectories (Journal Article)

IEEE Transactions on Control Systems Technology, 26 (1), pp. 128–138, 2018.

(BibTeX | Links: )

F. Tajaddodianfar, S. O. R. Moheimani, J. Owen, J. N. Randall

On the effect of local barrier height in scanning tunneling microscopy: Measurement methods and control implications (Journal Article)

Review of Scientific Instruments, 89 (1), pp. 013701, 2018.

(BibTeX | Links: )

M. G. Ruppert, A. G. Fowler, M. Maroufi, S. O. R. Moheimani

On-Chip Dynamic Mode Atomic Force Microscopy: A Silicon-on-Insulator MEMS Approach (Journal Article)

IEEE Journal of Microelectromechanical Systems, 26 (1), pp. 215 - 225, 2017.

(BibTeX | Links: )